Urban & Shared Mobility

1303 days ago

16 minutes

  • Abouelela, M., Durán-Rodas, D. and Antoniou, C. (2024). Do we all need shared E-scooters? An accessibility-centered spatial equity evaluation approach. Transportation Research Part A: Policy and Practice. https://doi.org/10.1016/j.tra.2024.103985.
  • Aguilera-García, Á., Gómez, J., Rangel, T., de los Ángeles Baeza, M. and Vassallo, J. M., (2024). Which factors influence the use of shared and privately-owned e-scooters in the city of Madrid? Implications for urban mobility. Cities. https://doi.org/10.1016/j.cities.2023.104785.
  • Al Kheder, S., and Albaghli, Z. (2024). Identifying barriers and benefits of shared e-scooters in promoting sustainability in Kuwait using Delphi and Force Field Analysis Methods. Journal of Engineering Research. https://doi.org/10.1016/j.jer.2024.02.010.
  • Brown, A. and Howell, A. (2024). Mobility for the People: Equity Requirements in US Shared Micromobility Programs. Journal of Cycling and Micromobility Research. https://doi.org/10.1016/j.jcmr.2024.100020.
  • Bösehans, G., Bell, M. C., and Dissanayake, D. (2024). Shared Mobility – Novel Insights on Mode Substitution Patterns, Trip and User Characteristics. Journal of cycling and micromobility research. https://doi.org/10.1016/j.jcmr.2024.100029.
  • Cai, J., Zhao, Z., Zhou, Z. and Wang, Y. (2024). Predicting the carbon emission reduction potential of shared electric bicycle travel. Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2024.104107.
  • Chahine, R., Losada-Rojas, L.L. and Konstantina Gkritza (2024). Navigating post-pandemic urban mobility: Unveiling intentions for shared micro-mobility usage across three U.S. cities. Travel behaviour and society/Travel behaviour & society. https://doi.org/10.1016/j.tbs.2024.100813
  • Chahine, R., Luo, H., Cai, H. and Gkritza, K. (2024). A comparative study of bike-sharing and e-scooter sharing users and services in a college town during COVID-19. Case Studies on Transport Policy. https://doi.org/10.1016/j.cstp.2023.101130.
  • Giordano, M. and Joseph Y.J. Chow (2024). An e-scooter service region and fleet allocation design problem with elastic demand. Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2024.104153.
  • Huang, E., Yin, Z., Broaddus, A. and Yan, X. (2024). Shared e-scooters as a last-mile transit solution? Travel behavior insights from Los Angeles and Washington D.C. Travel Behaviour and Society. https://doi.org/10.1016/j.tbs.2023.100663.
  • Kang, S., Yae Lee Chung, Yang, B., Lee, H., Lee, J. and Kim, J. (2024). User preference and willingness-to-pay for operation strategies that enhance safety and convenience of E-scooter sharing services. Transport Policy. https://doi.org/10.1016/j.tranpol.2023.11.005.
  • Kazemzadeh, K. and Sprei, F. (2024). The effect of shared e-scooter programs on modal shift: Evidence from Sweden. Sustainable Cities and Society. https://doi.org/10.1016/j.scs.2023.105097.
  • Krauss, K., Gnann, T., Burgert, T. and Axhausen, K.W. (2024). Faster, greener, scooter? An assessment of shared e-scooter usage based on real-world driving data. Transportation Research Part A: Policy and Practice. https://doi.org/10.1016/j.tra.2024.103997.
  • Lee, G., Lee, J. S., and Park, K. S. (2024). Battery swapping, vehicle rebalancing, and staff routing for electric scooter sharing systems. Transportation research. Part E, Logistics and transportation review. https://doi.org/10.1016/j.tre.2024.103540.
  • Li, Q., Zhang, E., Luca, D. and Fuerst, F. (2024). The travel pattern difference in dockless micro-mobility: Shared e-bikes versus shared bikes. Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2024.104179.
  • Lin, S., Yan, X. and Zhao, X. (2024). Spatial equity of micromobility systems: A comparison of shared E-scooters and docked bikeshare in Washington DC. Transport Policy. https://doi.org/10.1016/j.tranpol.2023.10.008.
  • Lin, Y.-H., Liu, P.-Y. and Chiang, C.-F. (2024). Tri-objective Stochastic Model to Optimize Location and Sizing of Scooter Battery Swapping Station. Sustainable Cities and Society. https://doi.org/10.1016/j.scs.2023.105091.
  • María, A. (2023). Environmental impacts of shared mobility: a systematic literature review of life-cycle assessments focusing on car sharing, carpooling, bikesharing, scooters and moped sharing. Transport Reviews. https://doi.org/10.1080/01441647.2023.2259104.
  • Mukku, V.D., Kania, M., Brinken, J., Salah, I.H. and Assmann, T. (2023). Evaluation of Energy Supply Technologies for Autonomous Cargo Bike-Sharing System. IFAC-PapersOnLine. https://doi.org/10.1016/j.ifacol.2023.10.1890.
  • Obrenović, N., Ataç, S., and Bierlaire, M. (2024). Light electric vehicle sharing systems: Functional design of a comprehensive decision making solution. Transportation Research Part A: Policy and Practice. https://doi.org/10.1016/j.tra.2024.104043
  • Ringhand, M., Schackmann, D., Anke, J., Iwan Porojkow and Petzoldt, T. (2024). Differences in route choice behavior when riding shared e-scooters vs. bicycles – A field study. Journal of safety research. https://doi.org/10.1016/j.jsr.2024.04.008.
  • Roig-Costa, O., Miralles-Guasch, C. and Marquet, O. (2024). Shared bikes vs. private e-scooters. Understanding patterns of use and demand in a policy-constrained micromobility environment. Transport Policy. https://doi.org/10.1016/j.tranpol.2023.11.010.
  • Sellaouti, A., Tiessler, M., Pobudzei, M., and Hoffmann, S. (2024). Evolution and characteristics of shared e-scooters usage in Munich, Germany – Results of an over 8 million trips data analysis. Transportation Research Procedia. https://doi.org/10.1016/j.trpro.2024.02.006.
  • Shi, Z., Wang, J., Liu, K., Liu, Y. and He, M. (2024). Exploring the usage efficiency of electric bike-sharing from a spatial–temporal perspective. Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2024.104139.
  • Wan, L. and Bendavid, I. (2024). Inferring trip purposes and mode substitution effect of rental e-scooters in London. Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2023.104034.
  • Woodson, C., Ashqar, H.I., Almannaa, M., Elhenawy, M. and Buehler, R. (2024). Factors influencing bikeshare service and usage in a rural college town: A case study of Montgomery County, VA. International Journal of Sustainable Transportation. https://www.tandfonline.com/doi/full/10.1080/15568318.2023.2295865.
  • Xanthopoulos, S., van der Tuin, M., Sharif Azadeh, S,. Correia, G., van Oort, N., and Snelder, M. (2024). Optimization of the location and capacity of shared multimodal mobility hubs to maximize travel utility in urban areas. Transportation Research Part A: Policy and Practice. https://doi.org/10.1016/j.tra.2023.103934.
  • Abouelela, M., Chaniotakis, E., and Antoniou, C. (2023). Understanding the landscape of shared-e-scooters in North America; Spatiotemporal analysis and policy insights. Transportation Research Part A: Policy and Practice. https://doi.org/10.1016/j.tra.2023.103602.
  • Bach, X., Marquet, O., and Miralles-Guasch, C. (2023). Assessing social and spatial access equity in regulatory frameworks for moped-style scooter sharing services. Transport Policy. https://doi.org/10.1016/j.tranpol.2023.01.002.
  • Boel Berg Wincent, Jenelius, E. and Wilco Burghout (2023). Access Distance to E-Scooters: Analysis of App Use and Trip Data in Stockholm. Journal of Cycling and Micromobility Research. https://doi.org/10.1016/j.jcmr.2023.100004.
  • Chen, C.-F., Fu, C. and Siao, P.-Y. (2023). Exploring electric moped sharing preferences with integrated choice and latent variable approach. Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2023.103837.
  • Choi, S.E., Kim, J., and Seo, D. (2023). Travel patterns of free-floating e-bike-sharing users before and during COVID-19 pandemic. Cities. https://doi.org/10.1016/j.cities.2022.104065.
  • Choi, K., Park, H.J. and Griffin, G.P. (2023). Can shared micromobility replace auto travel? Evidence from the U.S. urbanized areas between 2012 and 2019. International Journal of Sustainable Transportation. https://doi.org/10.1080/15568318.2023.2179444.
  • Cottam, A., Li, X., Razaur, M. and Wu, Y. (2023). Investigating the impacts of E-scooters on a bike-sharing system in Tucson, Arizona with a no ride zone. International Journal of Sustainable Transportation. https://doi.org/10.1080/15568318.2023.2288122.
  • Deveci, M., Gokasar, I., Pamucar, D., Chen, Y., and Coffman, D. (2023). Sustainable E-scooter parking operation in urban areas using fuzzy Dombi based RAFSI model. Sustainable Cities and Society. https://doi.org/10.1016/j.scs.2023.104426.
  • Echeverría-Su, M., Huamanraime-Maquin, E., Cabrera, F.I., and Vázquez-Rowe, I. (2023). Transitioning to sustainable mobility in Lima, Peru. Are e-scooter sharing initiatives part of the problem or the solution?. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2022.161130.
  • Guo, Z., Liu, J., Zhao, P., Li, A. and Liu, X. (2023). Spatiotemporal heterogeneity of the shared e-scooter–public transport relationships in Stockholm and Helsinki. Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2023.103880.
  • Hardinghaus, M. and Weschke, J. (2023). Transforming bicycle market: Assessing cyclists route preferences on different bike types in a choice experiment. Transportation Research Interdisciplinary Perspectives. https://doi.org/10.1016/j.trip.2023.100921.
  • Hoobroeckx, T., Oded Cats, Shelat, S. and Molin, E. (2023). Travel choices in (e-)moped sharing systems: Estimating explanatory variables and the value of ride fee savings. Research in Transportation Business & Management. https://doi.org/10.1016/j.rtbm.2023.101021.
  • Javadiansr, M., Amir Davatgari, A., Rahimi, E., Mohammadi, M., et al. (2023). Coupling shared E-scooters and public transit: a spatial and temporal analysis. Transportation Letters: The International Journal of Transportation Research. https://doi.org/10.1080/19427867.2023.2227447.
  • Jin, S.T., Wang, L. and Sui, D.Z. (2023). How the built environment affects E-scooter sharing link flows: A machine learning approach. Journal of Transport Geography. https://doi.org/10.1016/j.jtrangeo.2023.103687.
  • Klein, N., Brown, A., and Thigpen, C. (2023). Clutter and Compliance: Scooter Parking Interventions and Perceptions. Active Travel Studies. https://doi.org/10.16997/ats.1196.
  • Le Boennec, R., and Salladarré, F. (2023). Investigating the use of privately-owned micromobility modes for commuting in four European countries. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2023.139760.
  • Lee, C., Kaack, S. and Lee, S. (2023). Different mode, different travel? Insights into the travel behavior of e-scooter sharing using credit card big data and a mobile survey in Seoul. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2023.140448.
  • Liu, S., Zhang, F., Ji, Y., Ma, X,. et al. (2023). Understanding spatial-temporal travel demand of private and shared e-bikes as a feeder mode of metro stations. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2023.136602.
  • Reis, A.F., Baptista, P., and Moura, F (2023). How to promote the environmental sustainability of shared e-scooters: A life-cycle analysis based on a case study from Lisbon, Portugal. Journal of Urban Mobility. https://doi.org/10.1016/j.urbmob.2022.100044.
  • Curtale. R., and Liao, F. (2023). Travel preferences for electric sharing mobility services: Results from stated preference experiments in four European countries. Transportation Research Part C: Emerging Technologies. https://doi.org/10.1016/j.trc.2023.104321
  • Savastano, M., Suciu, M-C., Gorelova, I., and Stativă, G-A. (2023). How smart is mobility in smart cities? An analysis of citizens’ value perceptions through ICT applications. Cities. https://doi.org/10.1016/j.cities.2022.104071.
  • Shah, N.R., Abubakr Ziedan, Brakewood, C. and Cherry, C.R. (2023). Shared e-scooter service providers with large fleet size have a competitive advantage: Findings from e-scooter demand and supply analysis of Nashville, Tennessee. Transportation Research Part A: Policy and Practice. https://doi.org/10.1016/j.tra.2023.103878.
  • Shiva Pourfalatoun and Miller, E.E. (2023). Effects of the COVID-19 pandemic on use and perception of shared e-scooters. Transportation Research Interdisciplinary Perspectives. https://doi.org/10.1016/j.trip.2023.100925.
  • Sobrino, N., Gonzalez, J.N., Vassallo, J.M., and de los Angeles Baeza, M. (2023). Regulation of shared electric kick scooters in urban areas: Key drivers from expert stakeholders. Transport Policy. https://doi.org/10.1016/j.tranpol.2023.02.009.
  • Song, J., I-Yun Lisa Hsieh and Chen, C.-S. (2023). Sparse trip demand prediction for shared E-scooter using spatio-temporal graph neural networks. Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2023.103962.
  • Timo Eccarius, Liang, J.-K. and Lu, C.-C. (2023). Understanding prospective and actual users of campus-based electric moped sharing from a behavioral reasoning perspective – Insights from Taiwan. Research in Transportation Business & Management. https://doi.org/10.1016/j.rtbm.2023.101054.
  • Tuli, F.M., Nithila, A.N., Mitra, S. (2023). Uncovering the Spatio-Temporal Impact of the COVID-19 Pandemic on Shared E-Scooter Usage: A Spatial Panel Model. Transportation Research Interdisciplinary Perspectives. https://doi.org/10.1016/j.trip.2023.100843.
  • Weschke, J. (2023). Scooting when the metro arrives — Estimating the impact of public transport stations on shared e-scooter demand. Transportation Research Part A: Policy and Practice. https://doi.org/10.1016/j.tra.2023.103868
  • Yan, X., Zhao, X., Broaddus, A., et al. (2023). Evaluating shared e-scooters’ potential to enhance public transit and reduce driving. Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2023.103640.
  • Yin, R., and He, J. (2023). Design of a photovoltaic electric bike battery-sharing system in public transit stations. Applied Energy. https://doi.org/10.1016/j.apenergy.2022.120505.
  • Zhang, Z.H., Panchamy Krishnakumari, Schulte, F. and Niels van Oort (2023). Improving the service of E-bike sharing by demand pattern analysis: A data-driven approach. Research in Transportation Economics. https://doi.org/10.1016/j.retrec.2023.101340.
  • Zhou, Y., Yu, Y., Wang, Y., Hem B., and Yang, L. (2023). Mode substitution and carbon emission impacts of electric bike sharing systems. Sustainable Cities and Society. https://doi.org/10.1016/j.scs.2022.104312.
  • Angelelli, E., Chiari, M., Mor, A., Speranza, M.G. (2022). A simulation framework for a station-based bike-sharing system. Computers & Industrial Engineering. https://doi.org/10.1016/j.cie.2022.108489.
  • Brost, M., Ehrenberger, E., Dasgupta, I., Hahn, R., and Gebhardt, L. (2022). The Potential of Light Electric Vehicles for Climate Protection Through Substitution for Passenger Car Trips – Germany as a case study. German Aerospace Center (DLR) Prepared for LEVA-EU. https://www.dropbox.com/s/r0sbnfd88e49ip3/2022-03-15_LEV4Climate_DLR_report.pdf?dl=0.
  • Chicco, A. and Diana, M. (2022). Understanding micro-mobility usage patterns: a preliminary comparison between dockless bike sharing and e-scooters in the city of Turin (Italy). Transportation Research Procedia. https://doi.org/10.1016/j.trpro.2022.02.057.
  • Coretti Sanchez, N., Martinez, I., Alonso Pastor, L., and Larson, K. (2022). On the performance of shared autonomous bicycles: A simulation study. Communications in Transportation Research. https://doi.org/10.1016/j.commtr.2022.100066.
  • Fan, Z., and Harper, C.D. (2022). Congestion and environmental impacts of short car trip replacement with micromobility modes. Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2022.103173.
  • Gebhardt, L., Ehrenberger, S., Wolf, C., and Cyganski, R. (2022). Can shared E-scooters reduce CO2 emissions by substituting car trips in Germany? Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2022.103328.
  • Jiageng, N., Lanlan, Z., and Xianghong, L. (2022). A study on the trip behavior of shared bicycles and shared electric bikes in Chinese universities based on NL model – Henan Polytechnic University as an example. Physica A: Statistical Mechanics and its Applications. https://doi.org/10.1016/j.physa.2022.127855.
  • Jiao, J., Lee, H.K., and Choi, S.J. (2022). Impacts of COVID-19 on bike-sharing usages in Seoul, South Korea. Cities. https://doi.org/10.1016/j.cities.2022.103849.
  • Krauss, K., Krail, M. and Axhausen, K. W. (2022). What drives the utility of shared transport services for urban travellers? A stated preference survey in German cities. Travel behaviour and society. https://doi.org/10.1016/j.tbs.2021.09.010.
  • Krier, C., Dablanc, L., Aguiléra, A., and Louvet, N. (2022). Sharing within the gig economy: The use of shared e-bikes by on-demand platform-based instant meal delivery workers in Paris. Case Studies on Transport Policy. https://doi.org/10.1016/j.cstp.2022.10.012.
  • Leurent, F. (2022). What is the value of swappable batteries for a shared e-scooter service? Research in Transportation Business & Management. https://doi.org/10.1016/j.rtbm.2022.100843.
  • Li, A., Zhao, P., and Liu, X. et al. (2022). Comprehensive comparison of e-scooter sharing mobility: Evidence from 30 European cities. Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2022.103229.
  • Liu, H-C., Lin, J-J. (2022). Associations of built environments with spatiotemporal patterns of shared scooter use: A comparison with shared bike use. Transport Policy. https://doi.org/10.1016/j.tranpol.2022.07.012.
  • Li, H., Yuan, Z., and Novack, T., et al. (2022). Understanding spatiotemporal trip purposes of urban micro-mobility from the lens of dockless e-scooter sharing. Computers, Environment and Urban Systems. https://doi.org/10.1016/j.compenvurbsys.2022.101848.
  • Ma, Q., Xin, Y., Yang, H., and Xie, K. (2022). Connecting metros with shared electric scooters: Comparisons with shared bikes and taxis. Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2022.103376.
  • Martin, R., and Xu, Y. (2022). Is tech-enhanced bikeshare a substitute or complement for public transit? Transportation Research Part A: Policy and Practice. https://doi.org/10.1016/j.tra.2021.11.007.
  • Mouratidis, K. (2022). Bike-sharing, car-sharing, e-scooters, and Uber: Who are the shared mobility users and where do they live?. Sustainable Cities and Society. https://doi.org/10.1016/j.scs.2022.104161.
  • Shao, Q., Zhang, W., Cao, X., and Yang J. (2022). Nonlinear and interaction effects of land use and motorcycles/E-bikes on car ownership. Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2021.103115.
  • Sun, S. and Ertz, M. (2022). Can shared micromobility programs reduce greenhouse gas emissions: Evidence from urban transportation big data. Sustainable Cities and Society. https://doi.org/10.1016/j.scs.2022.104045.
  • Teixeira, J. F., Silva, C., and Moura e Sá, M. (2022). The strengths and weaknesses of bike sharing as an alternative mode during disruptive public health crisis: A qualitative analysis on the users’ motivations during COVID-19. Transport Policy. https://doi.org/10.1016/j.tranpol.2022.09.026.
  • Tzouras, P.G., Mitropoulos, L., Stavropoulou, E. et al. (2022). Agent-based models for simulating e-scooter sharing services: A review and a qualitative assessment. International Journal of Transportation Science and Technology. https://doi.org/10.1016/j.ijtst.2022.02.001.
  • Weschke, J., Oostendorp, R., and Hardinghaus, M. (2022). Mode shift, motivational reasons, and impact on emissions of shared e-scooter usage. Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2022.103468.
  • Xiao, G., Xiao, Y., Ni, A., Zhang, C., and Zong, F. (2022). Exploring influence mechanism of bikesharing on the use of public transportation — a case of Shanghai. Transportation Letters. https://doi.org/10.1080/19427867.2022.2093287.
  • Xu, M., Di, Y., Zhu, Z., Yang, H., and Chen, X. (2022). Designing van-based mobile battery swapping and rebalancing services for dockless ebike-sharing systems based on the dueling double deep Q-network. Transportation Research Part C: Emerging Technologies. https://doi.org/10.1016/j.trc.2022.103620.
  • Yang, X., Xu, Y., Zhou, Y., Song, S., and Wu, Y. (2022). Demand-aware mobile bike-sharing service using collaborative computing and information fusion in 5G IoT environment. Digital Communications and Networks. https://doi.org/10.1016/j.dcan.2022.06.004.
  • Yang, H., Zheng, R., Li, X., et al. (2022). Nonlinear and threshold effects of the built environment on e-scooter sharing ridership. Journal of Transport Geography. https://doi.org/10.1016/j.jtrangeo.2022.103453.
  • Zhou, X., Ji, Y., Yuan, Y., Zhang, F., and An, Q. (2022). Spatiotemporal characteristics analysis of commuting by shared electric bike: A case study of Ningbo, China. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2022.132337.
  • Zhu, Z., and Lu, C. (2022). Life cycle assessment of shared electric bicycle on greenhouse gas emissions in China. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2022.160546
Annick Roetynck

Annick is the Manager of LEVA-EU, with decades of experience in two-wheeled and light electric mobility.

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